Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15A5183209412160F076789D0FED4F75EDB7ECA44E64B8A0D72DD22F76BC9CA088A6354 |
|
CONTENT
ssdeep
|
48:Te3543iT9ZkQcQCZr5prkfY/uDNpOaQGw2Qo4In7K:Te6329mQFCzprgY/uxp3poo46u |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0706859593df5e6 |
|
VISUAL
aHash
|
0000ffffffffb7ff |
|
VISUAL
dHash
|
82a6869acc575725 |
|
VISUAL
wHash
|
0000e3ffffff8101 |
|
VISUAL
colorHash
|
0e180008000 |
|
VISUAL
cropResistant
|
868639cdc8577725,008292929a00a080,9dd554545576f69a,5a8ba78787a7b41a,656566566a6a6666,aaaaee49adad2d17,9ad1d1c2c2c2d694,e9edd694b4b6decc,f2e2eacadacab8ac,25456c69703496cb |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.